Can anyone suggest me a solution in these 2 assuming datasets
data1 :ID<-c[1 2 3 4 5 6 ]
data2:ID<-c[1 2 3 4 5 7 8 9]
I want to merge both ID variables in common and gets the result as intersection(common)i-e
ID:[1 2 3 4 5]and identify these values which is not in data1.Which is exactly here is 6.i need to find this value 6 but how can i do it in R?
dat1 <- c(1,2,3,4,5,6)
dat2 <- c(1,2,3,4,5,7,8,9)
dat2 %in% dat1
It would help to have a n actual data set.
library("tidyverse") my_data_1 <- tibble( ID = c(1,2,3,4,5,6), v1 = runif(length(ID)) ) my_data_2 <- tibble( ID = c(1,2,3,4,5,7,8,9), v2 = runif(length(ID)) ) my_data_1 %>% inner_join(my_data_2, by = "ID")
Hope it helps
So i can find value 6
So i can find values (1,2,3,4,5)which are common.
Maybe it helps others too
This topic was automatically closed 21 days after the last reply. New replies are no longer allowed.
If you have a query related to it or one of the replies, start a new topic and refer back with a link.